Bias in Penalized Quasi-Likelihood Estimation in Random Effects Logistic Regression Models When the Random Effects Are not Normally Distributed

DOI10.1081/SAC-200068364zbMath1072.62058WikidataQ57266864 ScholiaQ57266864MaRDI QIDQ5697363

Peter C. Austin

Publication date: 17 October 2005

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

zbMATH Keywords

estimationbiasrandom effects modelspenalized quasi-likelihood

Mathematics Subject Classification ID

Point estimation (62F10) Generalized linear models (logistic models) (62J12) Markov processes: estimation; hidden Markov models (62M05)

Related Items (1)

Bootstrapped inference for variance parameters, measures of heterogeneity and random effects in multilevel logistic regression models

Uses Software

• BUGS

Cites Work

• Statistical Methods for Profiling Providers of Medical Care: Issues and Applications
• Unnamed Item

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